# Image Tools - Background Removal, Upscaling & Face Restoration (remote · apim-ai-apis.azure-api.net)

Background removal, 4x upscaling, and face restoration via GPU

- Trust score: 73/100 (medium)
- Change this week: +7
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `apim-ai-apis.azure-api.net`: 73/100 (this document), [markdown](https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp.md), [page](https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp)

## Channel facts

- Endpoint: `https://apim-ai-apis.azure-api.net/mcp/image/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.1.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 77/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation is enforced on tool calls, but the challenge carries no valid RFC 9728 metadata, so a client cannot discover where to get a token.
  - HTTPS not yet verified: we couldn't determine whether a plaintext access path exists.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 834 tokens (~208/item across 4 items; 4 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http fasuizu-br-image-tools https://apim-ai-apis.azure-api.net/mcp/image/mcp
```

### Codex

```toml
[mcp_servers.fasuizu-br-image-tools]
url = "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "fasuizu-br-image-tools": {
      "type": "remote",
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add fasuizu-br-image-tools --url https://apim-ai-apis.azure-api.net/mcp/image/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  fasuizu-br-image-tools:
    url: "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
```

### Other

```json
{
  "mcpServers": {
    "fasuizu-br-image-tools": {
      "type": "http",
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 73, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 72, +4)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 68, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 66, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 66)

First indexed and scored.

## MCP tools (4)

### `remove_background` (~203 tokens)

Remove Background

Remove the background from an image.

Uses BiRefNet segmentation to precisely separate foreground from background.
Returns a base64-encoded image with transparent background (PNG) or white
background (WebP). Sub-500ms latency on GPU.

Args:
    image_base64: Base64-encoded image data (PNG, JPEG, or WebP).
    output_format: Output format -- 'png' (with transparency) or 'webp'.

Returns:
    dict with keys:
        - image_base64 (str): Base64-encoded result image
        - format (str): Output image format
        - original_size (dict): Original width and height
        - processing_ms (int): Processing time in milliseconds

Input parameters:

- `image_base64` (string, required): Base64-encoded image data. Supports PNG, JPEG, and WebP formats.
- `output_format` (string): Output image format: 'png' (default, with transparency) or 'webp'

### `upscale_image` (~227 tokens)

Upscale Image

Upscale image resolution using Real-ESRGAN.

Enhances image resolution by 2x or 4x using GPU-accelerated Real-ESRGAN
super-resolution. Processes in tiles (256x256) to manage VRAM.
Maximum output dimension: 8192x8192.

Args:
    image_base64: Base64-encoded image data (PNG, JPEG, or WebP).
    scale: Upscale factor -- 2 or 4 (default: 4).

Returns:
    dict with keys:
        - image (str): Base64-encoded upscaled image
        - format (str): Output image format
        - width (int): Output width
        - height (int): Output height
        - scale (int): Scale factor applied
        - processing_time_ms (float): Processing time in milliseconds

Input parameters:

- `image_base64` (string, required): Base64-encoded image data. Supports PNG, JPEG, and WebP formats.
- `scale` (integer): Upscale factor: 2 or 4 (default: 4)

### `restore_face` (~261 tokens)

Restore Face

Restore and enhance faces in an image using GFPGAN.

Detects all faces via RetinaFace, restores quality (fixes blur, noise,
compression artifacts), and pastes them back. Optionally enhances the
background using Real-ESRGAN. GPU-accelerated, sub-3s latency.

Args:
    image_base64: Base64-encoded image data containing faces (PNG, JPEG, WebP).
    upscale: Output upscale factor -- 1 to 4 (default: 2).
    enhance_background: Whether to enhance background with Real-ESRGAN (default: true).

Returns:
    dict with keys:
        - image (str): Base64-encoded restored image
        - format (str): Output image format
        - width (int): Output width
        - height (int): Output height
        - upscale (int): Scale factor applied
        - processing_time_ms (float): Processing time in milliseconds

Input parameters:

- `enhance_background` (boolean): Enhance background with Real-ESRGAN (default: true)
- `image_base64` (string, required): Base64-encoded image data containing one or more faces.
- `upscale` (integer): Output upscale factor: 1-4 (default: 2)

### `check_image_service` (~61 tokens)

Check Image Service

Check health status of Image API services and loaded models.

Returns:
    dict with keys:
        - status (str): 'healthy' or error state
        - models (dict): Loaded model status per capability
        - version (str): API version

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp#diagnostics

## Score history

- 2026-08-03: 73
- 2026-08-02: 72
- 2026-08-01: 72
- 2026-07-31: 72
- 2026-07-30: 68
- 2026-07-29: 68
- 2026-07-28: 67
- 2026-07-27: 66
- 2026-07-26: 66

## Links

- Remote endpoint: https://apim-ai-apis.azure-api.net/mcp/image/mcp
- Repository: https://github.com/fasuizu-br/speech-ai-examples
- Website: https://brainiall.com/
- Changelog RSS feed: https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/fasuizu-br-image-tools/mcp-image-mcp